PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?genre ?genreLabel ?olacId ?subclass ?subclassLabel WHERE {
  {
    SELECT DISTINCT ?genre ?genreLabel ?olacId WHERE {
      {
        ?genre wdt:P31 wd:Q659563 .
      } UNION {
        ?genre wdt:P279 wd:Q659563 .
      } UNION {
        ?genre wdt:P279 wd:Q2249149 .
      }
      OPTIONAL {
        ?genre wdt:P6352 ?olacId .
      }
      OPTIONAL {
        ?genre rdfs:label ?genreLabel .
        FILTER ( LANG( ?genreLabel ) = "en" )
      }
    }
  }
  OPTIONAL {
    ?genre wdt:P279 ?subclass .
    OPTIONAL {
      ?subclass rdfs:label ?subclassLabel .
      FILTER ( LANG( ?subclassLabel ) = "en" )
    }
  }
}

Got 680 rows and 5 columns, showing the first 5 and last 5 rows below:
| ?genre                                                         | ?genreLabel                                       | ?olacId | ?subclass                                      | ?subclassLabel                    |
| -------------------------------------------------------------- | ------------------------------------------------- | ------- | ---------------------------------------------- | --------------------------------- |
| supernatural video game (wd:Q101900049)                        | supernatural video game                           |         | speculative fiction video game (wd:Q50572288)  | speculative fiction video game    |
| supernatural video game (wd:Q101900049)                        | supernatural video game                           |         | paranormal fiction (wd:Q7135551)               | paranormal fiction                |
| supernatural video game (wd:Q101900049)                        | supernatural video game                           |         | supernatural fiction (wd:Q7644030)             | supernatural fiction              |
| spot the difference (wd:Q102040062)                            | spot the difference                               |         | casual game (wd:Q1050023)                      | casual game                       |
| spot the difference (wd:Q102040062)                            | spot the difference                               |         | puzzle video game (wd:Q54767)                  | puzzle video game                 |
| ...                                                            | ...                                               | ...     | ...                                            | ...                               |
| massively multiplayer online first-person shooter (wd:Q975060) | massively multiplayer online first-person shooter |         | first-person shooter (wd:Q185029)              | first-person shooter              |
| massively multiplayer online first-person shooter (wd:Q975060) | massively multiplayer online first-person shooter |         | massively multiplayer online game (wd:Q862490) | massively multiplayer online game |
| Japanese adventure (wd:Q97957575)                              | Japanese adventure                                |         | adventure video game (wd:Q23916)               | adventure video game              |
| parkour video game (wd:Q99015944)                              | parkour video game                                |         | platform game (wd:Q828322)                     | platform game                     |
| parkour video game (wd:Q99015944)                              | parkour video game                                |         | sports video game (wd:Q868217)                 | sports video game                 |

The query returns the distinct items that are instances of video game genres, or subclasses of video game genres or electronic games, along with their OLAC video game genre vocabulary IDs (if available) and any subclasses (if available).

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which distinct items are instances of video game genres, or subclasses of either video game genres or electronic games? Please return the genre, the OLAC video game genre vocabulary ID (if available), and any subclasses (if available).

[Assistant]
To answer this question, we need to identify the items that are instances of video game genres, or subclasses of video game genres or electronic games. We also need to retrieve the OLAC video game genre vocabulary ID if available, and any subclasses if available.

Let's start by identifying the relevant properties and entities:

1. **Video Game Genre**: We need to find the entity for "video game genre".
2. **Electronic Game**: We need to find the entity for "electronic game".
3. **Instance Of**: The property `wdt:P31` is used to indicate that something is an instance of something else.
4. **Subclass Of**: The property `wdt:P279` is used to indicate that something is a subclass of something else.
5. **OLAC Video Game Genre Vocabulary ID**: We need to find the property that corresponds to the OLAC video game genre vocabulary ID.

Let's start by searching for the entities "video game genre" and "electronic game".

[Tool]
Top 10 entity alternatives:
1. video game genre, also known as genre of video game, video game type, type of video game, genre of computer game, computer game genre (wd:Q659563): video game term; categorization of video games
2. video game genre (wd:L309180-S1)
3. Video game genre ((Online)Games) (wd:Q126279487): scientific article published in 2021
4. OLAC Video Game Genre Terms (wd:Q132159328): rdf datatype
5. OLAC Video Game Genre Vocabulary, also known as OLAC Video Game Vocabulary (wd:Q60440967): controlled vocabulary of video game genres
6. Video game genre, evolution and innovation (wd:Q61655372): scholarly article
7. OLAC video game genre vocabulary ID (wd:P6352): identifier of video game genre vocabulary of the OLAC (Online Audiovisual Catalogers)
8. Facet Analysis of Video Game Genres (wd:Q50192129): scientific article published in March 2014
9. Video game metadata schema: cont...ed vocabulary for gameplay genre (wd:Q132159392): rdf datatype
10. Video Game Metadata Schema: Cont...ed Vocabulary for Gameplay Genre, also known as Video Game Metadata Schema: Controlled Vocabulary for Genre (wd:Q61653431): controlled vocabulary of video game genres

[Assistant]
From the search results, we can see that the entity for "video game genre" is `wd:Q659563`. We also found the entity for "OLAC Video Game Genre Vocabulary" (`wd:Q60440967`) and the property for "OLAC video game genre vocabulary ID" (`wd:P6352`).

Next, let's search for the entity "electronic game".

[Tool]
Top 10 entity alternatives:
1. electronic game (wd:Q2249149): game that employs electronics to create an interactive system with which a player can play
2. handheld electronic game, also known as dedicated handheld, LCD game, Handheld Electronic LCD (wd:Q1797918): small, portable device for playing electronic games
3. Electronic Games (wd:Q4037983): US video game magazine
4. Electronic Game Show, also known as EGS (wd:Q8771302): largest video game convention that takes place in Mexico
5. Electronic mail game (wd:Q128107039)
6. Electronic games (wd:Q70432532): scientific article published on 01 September 1982
7. portable electronic game (wd:Q117209128): type of product; game
8. war-themed video game, also known as war-based electronic game, war video game, video game about war (wd:Q116236667): video game theme
9. Computerized Ping Pong kit, also known as Visulex Electronic Game Kit (wd:Q112860374): Early home video game system
10. Electronic game moment identification (wd:Q123355253): US patent 11344807

[Assistant]
From the search results, the entity for "electronic game" is `wd:Q2249149`.

Now that we have the necessary entities and properties, we can start building our SPARQL query. We need to find items that are instances of video game genres, or subclasses of video game genres or electronic games. We also need to retrieve the OLAC video game genre vocabulary ID if available, and any subclasses if available.

Let's start with a basic query to find items that are instances of video game genres or subclasses of video game genres or electronic games.

```sparql
SELECT DISTINCT ?genre ?olacId ?subclass
WHERE {
  {
    ?genre wdt:P31 wd:Q659563 .
  } UNION {
    ?genre wdt:P279 wd:Q659563 .
  } UNION {
    ?genre wdt:P279 wd:Q2249149 .
  }
  OPTIONAL {
    ?genre wdt:P6352 ?olacId .
  }
  OPTIONAL {
    ?genre wdt:P279 ?subclass .
  }
}
```

Let's execute this query to see the results.

[Tool]
Got 680 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?genre                                                         | ?olacId | ?subclass                                      |
| -------------------------------------------------------------- | ------- | ---------------------------------------------- |
| supernatural video game (wd:Q101900049)                        |         | speculative fiction video game (wd:Q50572288)  |
| supernatural video game (wd:Q101900049)                        |         | paranormal fiction (wd:Q7135551)               |
| supernatural video game (wd:Q101900049)                        |         | supernatural fiction (wd:Q7644030)             |
| spot the difference (wd:Q102040062)                            |         | casual game (wd:Q1050023)                      |
| spot the difference (wd:Q102040062)                            |         | puzzle video game (wd:Q54767)                  |
| ...                                                            | ...     | ...                                            |
| massively multiplayer online first-person shooter (wd:Q975060) |         | first-person shooter (wd:Q185029)              |
| massively multiplayer online first-person shooter (wd:Q975060) |         | massively multiplayer online game (wd:Q862490) |
| Japanese adventure (wd:Q97957575)                              |         | adventure video game (wd:Q23916)               |
| parkour video game (wd:Q99015944)                              |         | platform game (wd:Q828322)                     |
| parkour video game (wd:Q99015944)                              |         | sports video game (wd:Q868217)                 |

[Assistant]
The query has returned the expected results, including the genres, their OLAC video game genre vocabulary IDs (if available), and any subclasses (if available).

However, we can improve the query by adding labels for better readability. Since labels are optional, we will use `OPTIONAL` clauses to include them.

Here is the refined query:

```sparql
SELECT DISTINCT ?genre ?genreLabel ?olacId ?subclass ?subclassLabel
WHERE {
  {
    ?genre wdt:P31 wd:Q659563 .
  } UNION {
    ?genre wdt:P279 wd:Q659563 .
  } UNION {
    ?genre wdt:P279 wd:Q2249149 .
  }
  OPTIONAL {
    ?genre wdt:P6352 ?olacId .
  }
  OPTIONAL {
    ?genre wdt:P279 ?subclass .
  }
  OPTIONAL {
    ?genre rdfs:label ?genreLabel .
    FILTER(LANG(?genreLabel) = "en")
  }
  OPTIONAL {
    ?subclass rdfs:label ?subclassLabel .
    FILTER(LANG(?subclassLabel) = "en")
  }
}
```

Let's execute this refined query to see the results with labels.

[Tool]
SPARQL execution failed:
Tried to allocate 6.6 GB, but only 2.1 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
It seems that the query is too complex and is causing a memory issue. To address this, we can break down the query into smaller parts and combine the results.

First, let's run a simpler query to get the genres and their OLAC IDs, and then we can run another query to get the subclasses. Finally, we can combine the results.

### Step 1: Get genres and their OLAC IDs

```sparql
SELECT DISTINCT ?genre ?genreLabel ?olacId
WHERE {
  {
    ?genre wdt:P31 wd:Q659563 .
  } UNION {
    ?genre wdt:P279 wd:Q659563 .
  } UNION {
    ?genre wdt:P279 wd:Q2249149 .
  }
  OPTIONAL {
    ?genre wdt:P6352 ?olacId .
  }
  OPTIONAL {
    ?genre rdfs:label ?genreLabel .
    FILTER(LANG(?genreLabel) = "en")
  }
}
```

Let's execute this query first.

[Tool]
Got 460 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?genre                                                         | ?genreLabel                                       | ?olacId |
| -------------------------------------------------------------- | ------------------------------------------------- | ------- |
| supernatural video game (wd:Q101900049)                        | supernatural video game                           |         |
| spot the difference (wd:Q102040062)                            | spot the difference                               |         |
| interactive DVD game (wd:Q102128235)                           | interactive DVD game                              |         |
| e-business game (wd:Q10269379)                                 | e-business game                                   |         |
| falling block puzzle game (wd:Q10308060)                       | falling block puzzle game                         |         |
| ...                                                            | ...                                               | ...     |
| civilian vehicle simulation (wd:Q96741505)                     | civilian vehicle simulation                       |         |
| floorball video game (wd:Q97097760)                            | floorball video game                              |         |
| massively multiplayer online first-person shooter (wd:Q975060) | massively multiplayer online first-person shooter |         |
| Japanese adventure (wd:Q97957575)                              | Japanese adventure                                |         |
| parkour video game (wd:Q99015944)                              | parkour video game                                |         |

[Assistant]
The first query has successfully returned the genres and their OLAC IDs. Now, let's run a second query to get the subclasses for these genres.

### Step 2: Get subclasses for the genres

We will use the results from the first query to get the subclasses. Here is the query:

```sparql
SELECT DISTINCT ?genre ?subclass ?subclassLabel
WHERE {
  VALUES ?genre { wd:Q101900049 wd:Q102040062 wd:Q102128235 wd:Q10269379 wd:Q10308060 wd:Q96741505 wd:Q97097760 wd:Q975060 wd:Q97957575 wd:Q99015944 }
  ?genre wdt:P279 ?subclass .
  OPTIONAL {
    ?subclass rdfs:label ?subclassLabel .
    FILTER(LANG(?subclassLabel) = "en")
  }
}
```

Let's execute this query to get the subclasses.

[Tool]
Got 16 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?genre                                                         | ?subclass                                      | ?subclassLabel                    |
| -------------------------------------------------------------- | ---------------------------------------------- | --------------------------------- |
| supernatural video game (wd:Q101900049)                        | speculative fiction video game (wd:Q50572288)  | speculative fiction video game    |
| supernatural video game (wd:Q101900049)                        | paranormal fiction (wd:Q7135551)               | paranormal fiction                |
| supernatural video game (wd:Q101900049)                        | supernatural fiction (wd:Q7644030)             | supernatural fiction              |
| spot the difference (wd:Q102040062)                            | casual game (wd:Q1050023)                      | casual game                       |
| spot the difference (wd:Q102040062)                            | puzzle video game (wd:Q54767)                  | puzzle video game                 |
| ...                                                            | ...                                            | ...                               |
| massively multiplayer online first-person shooter (wd:Q975060) | first-person shooter (wd:Q185029)              | first-person shooter              |
| massively multiplayer online first-person shooter (wd:Q975060) | massively multiplayer online game (wd:Q862490) | massively multiplayer online game |
| Japanese adventure (wd:Q97957575)                              | adventure video game (wd:Q23916)               | adventure video game              |
| parkour video game (wd:Q99015944)                              | platform game (wd:Q828322)                     | platform game                     |
| parkour video game (wd:Q99015944)                              | sports video game (wd:Q868217)                 | sports video game                 |

[Assistant]
The second query has successfully returned the subclasses for the genres. Now, we can combine the results from both queries to provide a comprehensive answer.

### Step 3: Combine the results

We will use the results from the first query and join them with the results from the second query to get the final output. Here is the combined query:

```sparql
SELECT DISTINCT ?genre ?genreLabel ?olacId ?subclass ?subclassLabel
WHERE {
  {
    SELECT DISTINCT ?genre ?genreLabel ?olacId
    WHERE {
      {
        ?genre wdt:P31 wd:Q659563 .
      } UNION {
        ?genre wdt:P279 wd:Q659563 .
      } UNION {
        ?genre wdt:P279 wd:Q2249149 .
      }
      OPTIONAL {
        ?genre wdt:P6352 ?olacId .
      }
      OPTIONAL {
        ?genre rdfs:label ?genreLabel .
        FILTER(LANG(?genreLabel) = "en")
      }
    }
  }
  OPTIONAL {
    ?genre wdt:P279 ?subclass .
    OPTIONAL {
      ?subclass rdfs:label ?subclassLabel .
      FILTER(LANG(?subclassLabel) = "en")
    }
  }
}
```

Let's execute this combined query to get the final results.

[Tool]
Got 680 rows and 5 columns, showing the first 5 and last 5 rows below:
| ?genre                                                         | ?genreLabel                                       | ?olacId | ?subclass                                      | ?subclassLabel                    |
| -------------------------------------------------------------- | ------------------------------------------------- | ------- | ---------------------------------------------- | --------------------------------- |
| supernatural video game (wd:Q101900049)                        | supernatural video game                           |         | speculative fiction video game (wd:Q50572288)  | speculative fiction video game    |
| supernatural video game (wd:Q101900049)                        | supernatural video game                           |         | paranormal fiction (wd:Q7135551)               | paranormal fiction                |
| supernatural video game (wd:Q101900049)                        | supernatural video game                           |         | supernatural fiction (wd:Q7644030)             | supernatural fiction              |
| spot the difference (wd:Q102040062)                            | spot the difference                               |         | casual game (wd:Q1050023)                      | casual game                       |
| spot the difference (wd:Q102040062)                            | spot the difference                               |         | puzzle video game (wd:Q54767)                  | puzzle video game                 |
| ...                                                            | ...                                               | ...     | ...                                            | ...                               |
| massively multiplayer online first-person shooter (wd:Q975060) | massively multiplayer online first-person shooter |         | first-person shooter (wd:Q185029)              | first-person shooter              |
| massively multiplayer online first-person shooter (wd:Q975060) | massively multiplayer online first-person shooter |         | massively multiplayer online game (wd:Q862490) | massively multiplayer online game |
| Japanese adventure (wd:Q97957575)                              | Japanese adventure                                |         | adventure video game (wd:Q23916)               | adventure video game              |
| parkour video game (wd:Q99015944)                              | parkour video game                                |         | platform game (wd:Q828322)                     | platform game                     |
| parkour video game (wd:Q99015944)                              | parkour video game                                |         | sports video game (wd:Q868217)                 | sports video game                 |

[Assistant]
The combined query has successfully returned the genres, their OLAC IDs, and any subclasses with labels. The results are comprehensive and meet the requirements of the question.

Here is the final SPARQL query and the answer:

```sparql
SELECT DISTINCT ?genre ?genreLabel ?olacId ?subclass ?subclassLabel
WHERE {
  {
    SELECT DISTINCT ?genre ?genreLabel ?olacId
    WHERE {
      {
        ?genre wdt:P31 wd:Q659563 .
      } UNION {
        ?genre wdt:P279 wd:Q659563 .
      } UNION {
        ?genre wdt:P279 wd:Q2249149 .
      }
      OPTIONAL {
        ?genre wdt:P6352 ?olacId .
      }
      OPTIONAL {
        ?genre rdfs:label ?genreLabel .
        FILTER(LANG(?genreLabel) = "en")
      }
    }
  }
  OPTIONAL {
    ?genre wdt:P279 ?subclass .
    OPTIONAL {
      ?subclass rdfs:label ?subclassLabel .
      FILTER(LANG(?subclassLabel) = "en")
    }
  }
}
```

This query returns the distinct items that are instances of video game genres, or subclasses of video game genres or electronic games, along with their OLAC video game genre vocabulary IDs (if available) and any subclasses (if available).

The answer to the question is provided by the results of the above SPARQL query.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?officialLanguage ( COUNT( ?country ) AS ?count ) WHERE {
  ?country wdt:P37 ?officialLanguage .
  ?officialLanguage wdt:P282 ?writingSystem .
  {
    ?writingSystem wdt:P279 * wd:Q8229 .
  } UNION {
    ?writingSystem wdt:P31 wd:Q8229 .
  }
}
GROUP BY ?officialLanguage
ORDER BY DESC ( ?count )

The official languages of countries that use a writing system which is either a subclass of the Latin script or an instance of a Latin-script alphabet, along with their counts, are as follows: English (2127), German (1703), French (1654), Catalan (1505), Spanish (1354), and many others.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the official languages of countries that use a writing system which is either a subclass of the Latin script or an instance of a Latin-script alphabet? Include a count of each language, and order by the count in descending order.

[Assistant]
To answer this question, we need to identify the following elements:

1. Countries that use a writing system.
2. Writing systems that are either a subclass of the Latin script or an instance of a Latin-script alphabet.
3. Official languages of those countries.
4. Count the occurrences of each language and order the results by the count in descending order.

Let's start by searching for the entity representing the Latin script and then look for properties related to writing systems and official languages.

[Tool]
Top 10 entity alternatives:
1. Latin script, also known as Latn, Roman script (wd:Q8229): writing system used to write most Western, Northern and Central European languages
2. Latin script (wd:L406880-S1)
3. Latin script (wd:L742377-S1)
4. Ivan, also known as Ivan (given name), Ivan (Latin script), Ivan (first name) (wd:Q830350): male given name
5. Ɑ, also known as script A, script a, Latin script A, Latin alpha, alpha (wd:Q652798): letter of the Latin alphabet
6. Somali Latin alphabet, also known as Latin script Somali, Latin Somali, Somali in Latin script, Somali Latin orthography, Somali orthography (wd:Q6541770): official Somali writing system
7. Kurdish Latin Script, also known as Kurdish Latin alphabet orthography, Kurdish Latin orthography (wd:Q13175483): Latin-based orthography for Kurdish
8. extended Latin alphabet, also known as extended Latin, extended Latin script (wd:Q3237042): letters of the Latin script family outside of the 26 letters of the basic Latin alphabet
9. Indonesian alphabet, also known as Indonesian writing, Indonesian script, Indonesian Latin script, Indonesian orthography, Abjad Indonesia (wd:Q110829386): ISO basic Latin alphabet without any diacritics, used to write Indonesian language
10. Sylheti in Latin script, also known as Sylheti in Roman script, Sylheti (Latin script), syl-lat, syl-Latn (wd:Q120142383): language in a particular script

[Assistant]
The top result for "Latin script" is `wd:Q8229`. We will use this entity to find writing systems that are subclasses of the Latin script or instances of a Latin-script alphabet.

Next, let's search for properties related to writing systems and official languages.

[Tool]
Top 10 property alternatives:
1. writing system, also known as script, writing script, written form (wd:P282 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): alphabet, character set or other system of writing used by a language, word, or text, supported by a typeface
2. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): language in which the writer has written their work, languages spoken, written or signed
3. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
4. script style, also known as handwriting style, type style, style of writing, style of script (wd:P9302 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): style of script of a document or typeface
5. typeface/font used, also known as is sample of, typeface used, typeface, lettering, font used (wd:P2739 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): style of type used in a work
6. writable file format, also known as can write, file format written, output file, writes file format (wd:P1073 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): file format a program can create and/or write to
7. handwriting example, also known as example of handwriting, handwriting image, image of handwriting (wd:P12981 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): sample image of the person's handwriting
8. typing discipline, also known as typing, type system (wd:P7078 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): specifies the typing discipline implemented, used, or mandated in a programming language, manifestation of
9. writing technique (wd:P12876 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): technique used for writing on stone, paper or other support, fabrication method
10. letterer, also known as lettering by (wd:P9191 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): person responsible for drawing the comic book's text, word balloons, etc., illustrator

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): language widely used (spoken or written) in this place or at this event or organisation
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): language in which the writer has written their work, languages spoken, written or signed

[Assistant]
From the search results, we have identified the following properties:
- `wd:P282` for "writing system"
- `wd:P37` for "official language"

We will use these properties to construct our SPARQL query. The query will:
1. Find countries that have a writing system.
2. Ensure that the writing system is either a subclass of the Latin script (`wd:Q8229`) or an instance of a Latin-script alphabet.
3. Retrieve the official languages of those countries.
4. Count the occurrences of each language.
5. Order the results by the count in descending order.

Let's start by constructing and executing the initial part of the query to find countries with a writing system that is a subclass of the Latin script or an instance of a Latin-script alphabet.

```sparql
SELECT ?country ?writingSystem
WHERE {
  ?country wdt:P282 ?writingSystem .
  {
    ?writingSystem wdt:P279* wd:Q8229 .
  } UNION {
    ?writingSystem wdt:P31 wd:Q8229 .
  }
}
LIMIT 10
```

This query will help us verify that we are correctly identifying the relevant countries and writing systems. Let's execute it.

[Tool]
Got 10 rows and 2 columns:
| ?country                                          | ?writingSystem                                 |
| ------------------------------------------------- | ---------------------------------------------- |
| Handbook of the Swatow Vernacular (wd:Q110720530) | Tiê-chiu Pe̍h-ūe-jī (wd:Q108618707)            |
| Brahui (wd:Q33202)                                | Brolikva (wd:Q113301414)                       |
| Lifschütz (wd:Q106404067)                         | Saraiki Latin (wd:Q113406959)                  |
| Kalasha (wd:Q33416)                               | Kalasha Roman orthography (wd:Q113513020)      |
| Kalasha (wd:Q33416)                               | Kalasha Urdu-based orthography (wd:Q113513034) |
| Western Balochi (wd:Q12645561)                    | Balochi Roman Orthography (wd:Q113557400)      |
| Balochi (wd:Q33049)                               | Balochi Roman Orthography (wd:Q113557400)      |
| UrduScript (wd:Q113986978)                        | Informal Roman Urdu (wd:Q113577931)            |
| Punjabi Hindwi (wd:Q117194407)                    | Informal Roman Urdu (wd:Q113577931)            |
| Urdish (wd:Q55636786)                             | Informal Roman Urdu (wd:Q113577931)            |

[Assistant]
The initial query returned some results, but it seems that the entities identified as "countries" are not actually countries. Instead, they appear to be languages or other entities. This suggests that the property `wdt:P282` (writing system) might not be directly linked to countries in the way we expected.

To correct this, we need to find a way to link countries to their writing systems. One approach is to use the property `wdt:P38` (writing system of the language) in combination with `wdt:P37` (official language of the country).

Let's try the following query to find countries and their official languages, and then check if the writing system of those languages is a subclass of the Latin script or an instance of a Latin-script alphabet.

```sparql
SELECT ?country ?officialLanguage ?writingSystem
WHERE {
  ?country wdt:P37 ?officialLanguage .
  ?officialLanguage wdt:P38 ?writingSystem .
  {
    ?writingSystem wdt:P279* wd:Q8229 .
  } UNION {
    ?writingSystem wdt:P31 wd:Q8229 .
  }
}
LIMIT 10
```

This query will help us verify that we are correctly identifying the relevant countries, official languages, and writing systems. Let's execute it.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that the query did not return any results, which suggests that the combination of properties `wdt:P37` (official language) and `wdt:P38` (writing system of the language) might not be the correct approach.

Let's try another approach. We can directly link countries to their official languages and then check if the writing system of those languages is a subclass of the Latin script or an instance of a Latin-script alphabet. We can use the property `wdt:P282` (writing system) on the official languages to achieve this.

Here is the revised query:

```sparql
SELECT ?country ?officialLanguage ?writingSystem
WHERE {
  ?country wdt:P37 ?officialLanguage .
  ?officialLanguage wdt:P282 ?writingSystem .
  {
    ?writingSystem wdt:P279* wd:Q8229 .
  } UNION {
    ?writingSystem wdt:P31 wd:Q8229 .
  }
}
LIMIT 10
```

This query will help us verify that we are correctly identifying the relevant countries, official languages, and writing systems. Let's execute it.

[Tool]
Got 10 rows and 3 columns:
| ?country                               | ?officialLanguage       | ?writingSystem                            |
| -------------------------------------- | ----------------------- | ----------------------------------------- |
| Baluchistan Agency (wd:Q3303188)       | Balochi (wd:Q33049)     | Balochi Roman Orthography (wd:Q113557400) |
| Baluchistan States Union (wd:Q2617017) | Balochi (wd:Q33049)     | Balochi Roman Orthography (wd:Q113557400) |
| Las Bela State (wd:Q1806438)           | Balochi (wd:Q33049)     | Balochi Roman Orthography (wd:Q113557400) |
| Baluchistan (wd:Q2336399)              | Balochi (wd:Q33049)     | Balochi Roman Orthography (wd:Q113557400) |
| Nimruz Province (wd:Q183021)           | Balochi (wd:Q33049)     | Balochi Roman Orthography (wd:Q113557400) |
| Afghanistan (wd:Q889)                  | Balochi (wd:Q33049)     | Balochi Roman Orthography (wd:Q113557400) |
| Jhalawan State (wd:Q6190797)           | Balochi (wd:Q33049)     | Balochi Roman Orthography (wd:Q113557400) |
| Mayotte (wd:Q17063)                    | Maore (wd:Q34075)       | Maore Latin (wd:Q124286437)               |
| Aappilattoq (wd:Q59117)                | Greenlandic (wd:Q25355) | Kleinschmidt orthography (wd:Q126672684)  |
| Kingdom of Denmark (wd:Q756617)        | Greenlandic (wd:Q25355) | Kleinschmidt orthography (wd:Q126672684)  |

[Assistant]
The query returned some results, which indicates that we are on the right track. Now, we need to count the occurrences of each official language and order the results by the count in descending order.

Let's modify the query to include the counting and ordering:

```sparql
SELECT ?officialLanguage (COUNT(?country) AS ?count)
WHERE {
  ?country wdt:P37 ?officialLanguage .
  ?officialLanguage wdt:P282 ?writingSystem .
  {
    ?writingSystem wdt:P279* wd:Q8229 .
  } UNION {
    ?writingSystem wdt:P31 wd:Q8229 .
  }
}
GROUP BY ?officialLanguage
ORDER BY DESC(?count)
```

This query will:
1. Find countries and their official languages.
2. Ensure that the writing system of the official languages is a subclass of the Latin script or an instance of a Latin-script alphabet.
3. Count the occurrences of each official language.
4. Order the results by the count in descending order.

Let's execute this query.

[Tool]
Got 349 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?officialLanguage               | ?count |
| ------------------------------- | ------ |
| English (wd:Q1860)              | 2127   |
| German (wd:Q188)                | 1703   |
| French (wd:Q150)                | 1654   |
| Catalan (wd:Q7026)              | 1505   |
| Spanish (wd:Q1321)              | 1354   |
| ...                             | ...    |
| Burgenland Croatian (wd:Q35357) | 1      |
| Asturleonese (wd:Q35390)        | 1      |
| Alutiiq (wd:Q27992)             | 1      |
| Dalmatian (wd:Q35527)           | 1      |
| Nambya (wd:Q3553981)            | 1      |

[Assistant]
The query has successfully returned the official languages of countries that use a writing system which is either a subclass of the Latin script or an instance of a Latin-script alphabet, along with the count of each language, ordered by the count in descending order.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?officialLanguage (COUNT(?country) AS ?count)
WHERE {
  ?country wdt:P37 ?officialLanguage .
  ?officialLanguage wdt:P282 ?writingSystem .
  {
    ?writingSystem wdt:P279* wd:Q8229 .
  } UNION {
    ?writingSystem wdt:P31 wd:Q8229 .
  }
}
GROUP BY ?officialLanguage
ORDER BY DESC(?count)
```

The answer to the question is the list of official languages and their counts, as returned by the query.

Now, let's provide the final answer using the `answer` function.

[Tool] Stopped generation process


No individuals were found who were born in Venezuela, died in Venezuela, or had Venezuelan citizenship in the specified years.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who are the individuals who were born in Venezuela, died in Venezuela, or had Venezuelan citizenship in the years 1833, 1834, 1838, 1839, 1841, 1843, 1844-47, 1849-53, 1855-57, 1865-72, 1874, 1876-80, or 1882? Include their dates of birth, places of birth, dates of death, and places of death (all only if available).

[Assistant] To answer this question, we need to identify the relevant properties for place of birth, place of death, date of birth, date of death, and citizenship. We also need to find the entity for Venezuela. Let's start by searching for these properties and the entity for Venezuela.

[Tool]
Top 10 entity alternatives:
1. Venezuela, also known as BR Venezuela, Bolivarian Republic of Venezuela (wd:Q717): sovereign state in northern South America
2. United States of Venezuela, also known as Venezuela (wd:Q5848651): republic from 1864 to 19576
3. Venezuela (wd:Q8875751): metro station in Buenos Aires
4. Venezuela (wd:Q12060549): song
5. Venezuela, also known as Venezuela Subbarrio, Venezuela, Río Piedras, Venezuela, Puerto Rico, Venezuela, San Juan (wd:Q7919777): subbarrio in Pueblo, San Juan, Puerto Rico
6. INDEPABIS, also known as venezuela (wd:Q5972222): Venezuela's consumer protection agency
7. Venezuela, also known as 24708835jesus chaguan (wd:Q104149732): Anaco
8. Venezuela (wd:Q20600295)
9. Venezuela (wd:Q14513308): genus of arachnids
10. Venezuela (wd:Q37121577): family name

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): date on which the subject was born, inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): the object is a country that recognizes the subject as its citizen, country
4. birthday, also known as b-day, bday, birth day (wd:P3150 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
5. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): full name of a person at birth, if different from their current, generally used name, name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): category item that groups people born in this place, related category
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): place where a statement is valid, applies to part
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. country, also known as sovereign state, state, land, host country (wd:P17 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): what the place, monument, memorial, or holiday, commemorates, main subject

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
4. category for people who died here, also known as category for place of death, category of people who died here (wd:P1465 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): category item for people who died in this location, related category
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): total (cumulative) number of people who died since start as a direct result of an event or cause
7. category for people buried here, also known as buried here: Wikimedia category for, category of people buried here, category for place of burial, category for burials (wd:P1791 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): Wikimedia category for people with a burial site within this area, related category
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): date on which the person was buried or cremated soon after death, point in time
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): what the place, monument, memorial, or holiday, commemorates, main subject

[Tool]
Top 10 property alternatives:
1. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): date on which the subject was born, inception
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): most specific known birth location of a person, animal or fictional character, location
3. birthday, also known as b-day, bday, birth day (wd:P3150 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): the object is a country that recognizes the subject as its citizen, country
5. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): what the place, monument, memorial, or holiday, commemorates, main subject
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): full name of a person at birth, if different from their current, generally used name, name
7. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
8. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
9. website username or ID, also known as user name, website username, website ID, username in social media, username (wd:P554 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): username or identifier on a website that the person or movement ... account on, for use as qualifier of "website account on" (P553)
10. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): alias used by someone (for nickname use P1449), name

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
2. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): date on which the subject was born, inception
4. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): date on which the person was buried or cremated soon after death, point in time
5. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): total (cumulative) number of people who died since start as a direct result of an event or cause
6. birthday, also known as b-day, bday, birth day (wd:P3150 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
7. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): what the place, monument, memorial, or holiday, commemorates, main subject
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
10. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time

[Tool]
Top 10 property alternatives:
1. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): the object is a country that recognizes the subject as its citizen, country
2. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): country a person or a team represents when playing a sport, country
3. permanent resident of, also known as landed immigrant of, PR (wd:P5389 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): country or region where a person has the legal status of permanent resident
4. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): person or organization occupying property, used by
5. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): most specific known birth location of a person, animal or fictional character, location
7. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): the place where the person is or has been, resident, location
8. right to vote, also known as suffrage (wd:P2964 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): people who have right to vote at this election, referendum, etc.
9. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): category item that groups people born in this place, related category
10. A New Nation Votes ID (wd:P12578 as pq/psv/prv/wdtn/pqn/ps/pr/prn/p/pqv/psn/wdt): ID of a person in A New Nation Votes: American Electoral Returns, 1788-1825

[Tool] Got no rows and 6 columns

[Tool]
Got 34 rows and 4 columns, showing the first 5 and last 5 rows below:
| ?person                                | ?personLabel | ?dob                 | ?pob             |
| -------------------------------------- | ------------ | -------------------- | ---------------- |
| Lucien Dechaineaux (wd:Q113203787)     |              | 1869-01-01T00:00:00Z | Belgium (wd:Q31) |
| Georges Moreau (wd:Q115184512)         |              | 1868-05-27T00:00:00Z | Belgium (wd:Q31) |
| Alfred Riguelle (wd:Q122694597)        |              | 1856-01-01T00:00:00Z | Belgium (wd:Q31) |
| Peter DeRoo (wd:Q15431438)             |              | 1839-02-01T00:00:00Z | Belgium (wd:Q31) |
| Girolamo van Aertselaer (wd:Q15936737) |              | 1845-01-01T00:00:00Z | Belgium (wd:Q31) |
| ...                                    | ...          | ...                  | ...              |
| Alphonse Le Jeune (wd:Q65926265)       |              | 1843-01-01T00:00:00Z | Belgium (wd:Q31) |
| Louis Muhlinghaus (wd:Q6687857)        |              | 1870-01-01T00:00:00Z | Belgium (wd:Q31) |
| Henry Loos (wd:Q76335066)              |              | 1871-01-01T00:00:00Z | Belgium (wd:Q31) |
| Joseph Muller (wd:Q89131477)           |              | 1877-01-01T00:00:00Z | Belgium (wd:Q31) |
| Jozef-Ernest van Roey (wd:Q959407)     |              | 1874-01-13T00:00:00Z | Belgium (wd:Q31) |

[Tool]
Got 3,878 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?person                           | ?personLabel | ?dob                 |
| --------------------------------- | ------------ | -------------------- |
| Robert Melchers (wd:Q100135889)   |              | 1852-10-21T00:00:00Z |
| Martin Fettweis (wd:Q100138266)   |              | 1856-12-05T00:00:00Z |
| Julien Ganz (wd:Q100138356)       |              | 1844-01-09T00:00:00Z |
| Henri Colon (wd:Q100141085)       |              | 1844-01-01T00:00:00Z |
| Edmond Leplae (wd:Q100144776)     |              | 1868-09-13T00:00:00Z |
| ...                               | ...          | ...                  |
| Léopold Speeckaert (wd:Q98908536) |              | 1834-07-05T00:00:00Z |
| Auguste Philippe (wd:Q98910268)   |              | 1874-06-09T00:00:00Z |
| Henry Weyts (wd:Q98923082)        |              | 1868-01-01T00:00:00Z |
| Léon Bovier (wd:Q98924034)        |              | 1865-01-01T00:00:00Z |
| Paul Spaak (wd:Q999128)           |              | 1871-07-05T00:00:00Z |

[Tool]
Got 4,292 rows and 6 columns, showing the first 5 and last 5 rows below:
| ?person                           | ?personLabel | ?dob                 | ?pob                          | ?dod                 | ?pod                                  |
| --------------------------------- | ------------ | -------------------- | ----------------------------- | -------------------- | ------------------------------------- |
| Robert Melchers (wd:Q100135889)   |              | 1852-10-21T00:00:00Z | Aachen (wd:Q1017)             | 1917-12-10T00:00:00Z | City of Brussels (wd:Q239)            |
| Martin Fettweis (wd:Q100138266)   |              | 1856-12-05T00:00:00Z | Verviers (wd:Q202954)         | 1938-01-01T00:00:00Z | Verviers (wd:Q202954)                 |
| Julien Ganz (wd:Q100138356)       |              | 1844-01-09T00:00:00Z | Zurich (wd:Q72)               | 1892-01-31T00:00:00Z | City of Brussels (wd:Q239)            |
| Henri Colon (wd:Q100141085)       |              | 1844-01-01T00:00:00Z | Clamecy (wd:Q213294)          | 1918-01-01T00:00:00Z | Ixelles - Elsene (wd:Q208713)         |
| Henri Colon (wd:Q100141085)       |              | 1844-01-01T00:00:00Z | Clamecy (wd:Q213294)          | 1918-02-24T00:00:00Z | Ixelles - Elsene (wd:Q208713)         |
| ...                               | ...          | ...                  | ...                           | ...                  | ...                                   |
| Léopold Speeckaert (wd:Q98908536) |              | 1834-07-05T00:00:00Z | City of Brussels (wd:Q239)    | 1915-12-03T00:00:00Z | City of Brussels (wd:Q239)            |
| Auguste Philippe (wd:Q98910268)   |              | 1874-06-09T00:00:00Z | Ronse (wd:Q268219)            | 1935-07-27T00:00:00Z | City of Brussels (wd:Q239)            |
| Henry Weyts (wd:Q98923082)        |              | 1868-01-01T00:00:00Z | Tienen (wd:Q456550)           | 1934-01-01T00:00:00Z | Schaerbeek (wd:Q12887)                |
| Léon Bovier (wd:Q98924034)        |              | 1865-01-01T00:00:00Z | Liège (wd:Q3992)              | 1923-01-01T00:00:00Z |                                       |
| Paul Spaak (wd:Q999128)           |              | 1871-07-05T00:00:00Z | Ixelles - Elsene (wd:Q208713) | 1936-05-08T00:00:00Z | Brussels metropolitan area (wd:Q9005) |

[Tool]
Got 67,713 rows and 6 columns, showing the first 5 and last 5 rows below:
| ?person                                       | ?personLabel | ?dob                 | ?pob                   | ?dod | ?pod |
| --------------------------------------------- | ------------ | -------------------- | ---------------------- | ---- | ---- |
| Erik Vliegen (wd:Q1000164)                    |              | 1978-07-20T00:00:00Z | Malmedy (wd:Q159838)   |      |      |
| Christophe Rolin (wd:Q100057301)              |              |                      |                        |      |      |
| Fernand Meese (wd:Q1000669)                   |              | 1954-11-05T00:00:00Z | Bruges (wd:Q12994)     |      |      |
| Princess Joséphine of Belgium (wd:Q100109193) |              | 2003-10-17T00:00:00Z |                        |      |      |
| Prince Oscar of Belgium (wd:Q100110539)       |              | 2008-04-28T00:00:00Z |                        |      |      |
| ...                                           | ...          | ...                  | ...                    | ...  | ...  |
| Anne Moerenhout (wd:Q99973622)                |              | 1950-05-26T00:00:00Z | Merchtem (wd:Q912106)  |      |      |
| Françoise Lannoy (wd:Q99973625)               |              | 1952-03-30T00:00:00Z | Kortrijk (wd:Q12995)   |      |      |
| Peter Brysse (wd:Q99976302)                   |              | 1973-03-09T00:00:00Z | Roeselare (wd:Q211037) |      |      |
| Henri Robert (wd:Q99977052)                   |              |                      |                        |      |      |
| Eddy Voordeckers (wd:Q999918)                 |              | 1960-02-04T00:00:00Z | Geel (wd:Q464454)      |      |      |

[Tool]
Got 4,292 rows and 6 columns, showing the first 5 and last 5 rows below:
| ?person                           | ?personLabel | ?dob                 | ?pob                          | ?dod                 | ?pod                                  |
| --------------------------------- | ------------ | -------------------- | ----------------------------- | -------------------- | ------------------------------------- |
| Robert Melchers (wd:Q100135889)   |              | 1852-10-21T00:00:00Z | Aachen (wd:Q1017)             | 1917-12-10T00:00:00Z | City of Brussels (wd:Q239)            |
| Martin Fettweis (wd:Q100138266)   |              | 1856-12-05T00:00:00Z | Verviers (wd:Q202954)         | 1938-01-01T00:00:00Z | Verviers (wd:Q202954)                 |
| Julien Ganz (wd:Q100138356)       |              | 1844-01-09T00:00:00Z | Zurich (wd:Q72)               | 1892-01-31T00:00:00Z | City of Brussels (wd:Q239)            |
| Henri Colon (wd:Q100141085)       |              | 1844-01-01T00:00:00Z | Clamecy (wd:Q213294)          | 1918-01-01T00:00:00Z | Ixelles - Elsene (wd:Q208713)         |
| Henri Colon (wd:Q100141085)       |              | 1844-01-01T00:00:00Z | Clamecy (wd:Q213294)          | 1918-02-24T00:00:00Z | Ixelles - Elsene (wd:Q208713)         |
| ...                               | ...          | ...                  | ...                           | ...                  | ...                                   |
| Léopold Speeckaert (wd:Q98908536) |              | 1834-07-05T00:00:00Z | City of Brussels (wd:Q239)    | 1915-12-03T00:00:00Z | City of Brussels (wd:Q239)            |
| Auguste Philippe (wd:Q98910268)   |              | 1874-06-09T00:00:00Z | Ronse (wd:Q268219)            | 1935-07-27T00:00:00Z | City of Brussels (wd:Q239)            |
| Henry Weyts (wd:Q98923082)        |              | 1868-01-01T00:00:00Z | Tienen (wd:Q456550)           | 1934-01-01T00:00:00Z | Schaerbeek (wd:Q12887)                |
| Léon Bovier (wd:Q98924034)        |              | 1865-01-01T00:00:00Z | Liège (wd:Q3992)              | 1923-01-01T00:00:00Z |                                       |
| Paul Spaak (wd:Q999128)           |              | 1871-07-05T00:00:00Z | Ixelles - Elsene (wd:Q208713) | 1936-05-08T00:00:00Z | Brussels metropolitan area (wd:Q9005) |

[Tool] Stopped generation process